Low Risk

e2e_discover_flows

Scan all spec files and extract the sequence of page-object method calls per test. Use this when no flows are stored yet \u2014 it gives you a draft flow map inferred from static analysis so you can understand what each test is trying to do without running it.

How to control e2e_discover_flows ↓

What e2e_discover_flows does on Playwright Autopilot

AI agents call e2e_discover_flows to retrieve information from Playwright Autopilot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why e2e_discover_flows needs a policy

The tool reads and analyzes existing test specification files to understand test flows without executing them or modifying any data. It is a passive discovery and analysis operation with no side effects, fitting the Read category (retrieves or queries data). The low severity reflects that misuse would at worst surface internal test structure but cannot harm production systems or data.

From the tool's definition Tool performs static analysis and extraction: 'Scan all spec files and extract the sequence of page-object method calls per test' and 'gives you a draft flow map inferred from static analysis'.

Documented attack patterns abuse exactly the kind of access e2e_discover_flows gives an agent:

How to control e2e_discover_flows

PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright Autopilot, and nothing reaches the server without passing your rules. This is the rule we recommend for e2e_discover_flows:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "e2e_discover_flows": {}
  }
}

e2e_discover_flows is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Playwright Autopilot — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about e2e_discover_flows

What does the e2e_discover_flows tool do? +

Scan all spec files and extract the sequence of page-object method calls per test. Use this when no flows are stored yet \u2014 it gives you a draft flow map inferred from static analysis so you can understand what each test is trying to do without running it. It is categorised as a Read tool in the Playwright Autopilot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on e2e_discover_flows? +

Register the Playwright Autopilot MCP server in PolicyLayer and add a rule for e2e_discover_flows: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Playwright Autopilot. Nothing to install.

What risk level is e2e_discover_flows? +

e2e_discover_flows is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit e2e_discover_flows? +

Yes. Add a rate_limit block to the e2e_discover_flows rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block e2e_discover_flows completely? +

Set action: deny in the PolicyLayer policy for e2e_discover_flows. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides e2e_discover_flows? +

e2e_discover_flows is provided by the Playwright Autopilot MCP server (kaizen-yutani/playwright-autopilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Playwright Autopilot tool call.

Start from Playwright Autopilot, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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51 Playwright Autopilot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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